Model page

google-t5/t5-small pass

downloads 22.8Mlikes 592license apache-2.0arch t5params 60.5Mupdated 2023-06-30

chat template: not in config · view on Hugging Face ↗

Ingot findings

Static battery clean: safetensors weights, license declared, no template/tokenizer drift detected. Deep battery not yet run. Weights battery: embedding-norm scan over 32128 tokens (F32, 512-dim) found 0 undertrained candidates, 0 plain-ASCII. Scanned 2026-08-20 (published from a community scan).

info Embedding-norm glitch scan clean

No undertrained tokens found: every non-special token's embedding norm is above 0.3× the vocabulary median (517.027). The glitch-token data-corruption class has no candidate surface in this model.

How to fixruntime guardweight-level

Keep the affected token strings out of the model's input — the scan-derived runtime guard carries this model's exact blocklist.

  1. Fetch this model's guard artifact (`/api/v1/guard/<owner>/<model>`): the confirmed corrupting tokens and the low-norm candidate list, derived from the published scan.
  2. Screen inbound text with it (the `@ingotai/guard` package is a reference implementation) and route flagged records to a different model or human review — verbatim-copy tasks on flagged strings are the failure mode.
  3. The underlying cause is undertrained embeddings in the weights; a true fix is weight-level (continued pretraining on the affected tokens) — that is not a patch, it's a training job.

Remediation guidance addresses the documented findings only. It is evidence-driven repair, not a safety certification of the model.

Fingerprint

The durable weights-and-metadata profile of this model, rebuilt on every scan and deep-battery run. Updated 2026-08-20.

architecturet5 · 6 layers · 512-dim
parameters60.5M
vocabulary32,128 tokens
licenseapache-2.0
serializationsafetensors pickle
chat templatenone
glitch-token surfaceclean no undertrained tokens
Full fingerprint
architecturesT5ForConditionalGeneration
librarytransformers
pipelinetranslation
repo files20 — pickle: pytorch_model.bin
revisiondf1b051c4962
HF snapshot22.8M downloads · 592 likes · updated 2023-06-30 · captured 2026-08-20
embedding tensorshared.weight · F32 · 32,128×512
embedding normsmedian 517.0269 · mean 520.1534
lineage checkno claimed base model

Verdict badge

Ship the verdict in your README — it always shows the latest published analysis:

Ingot verdict: pass

[![Ingot scan](https://ingot.tools/api/v1/models/google-t5/t5-small/badge.svg)](https://ingot.tools/models/google-t5/t5-small)
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